---
title: "Who cites Bleu: a Method for Automatic Evaluation of…"
description: "The papers of the Elamur Research library that cite «Bleu: a Method for Automatic Evaluation of Machine Translation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/32/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/32/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Bleu: a Method for Automatic Evaluation of…](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/) / cited by

# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 32

10827 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [31](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/31/) · **32** · [33](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/33/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models](https://aclanthology.org/2024.acl-long.66/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging](https://aclanthology.org/2024.emnlp-main.112/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
3. [ToXCL: A Unified Framework for Toxic Speech Detection and Explanation](https://aclanthology.org/2024.naacl-long.359/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
4. [TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization](https://aclanthology.org/2024.naacl-long.251/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
5. [Together We Can: Multilingual Automatic Post-Editing for Low-Resource Languages](https://aclanthology.org/2024.findings-emnlp.634/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
6. [Token-Budget-Aware LLM Reasoning](https://arxiv.org/abs/2412.18547) *— 2024 · arXiv:2412.18547*
7. [Tool Learning with Large Language Models: A Survey](https://arxiv.org/abs/2405.17935) *— 2024 · arXiv:2405.17935*
8. [Topic-guided Example Selection for Domain Adaptation in LLM-based Machine Translation](https://aclanthology.org/2024.eacl-srw.13/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
9. [Toucan: Many-to-Many Translation for 150 African Language Pairs](https://aclanthology.org/2024.findings-acl.781/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
10. [Toward Faithful Dialogs: Evaluating and Improving the Faithfulness of Dialog Systems](https://aclanthology.org/2024.yrrsds-1.14/) *— 2024 · Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems*
11. [Toward Structured Related Work Generation with Novelty Statements](https://aclanthology.org/2024.sdp-1.5/) *— 2024 · Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024)*
12. [Toward the Modular Training of Controlled Paraphrase Adapters](https://aclanthology.org/2024.moomin-1.1/) *— 2024 · Proceedings of the 1st Workshop on Modular and Open Multilingual NLP (MOOMIN 2024)*
13. [Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent](https://arxiv.org/abs/2407.21646) *— 2024 · arXiv:2407.21646*
14. [Towards Answering Health-related Questions from Medical Videos: Datasets and Approaches](https://aclanthology.org/2024.lrec-main.1425/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
15. [Towards Artwork Explanation in Large-scale Vision Language Models](https://aclanthology.org/2024.acl-short.65/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
16. [Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond](https://aclanthology.org/2024.bea-1.21/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
17. [Towards Building Multilingual Language Model for Medicine](https://arxiv.org/abs/2402.13963) *— 2024 · arXiv:2402.13963*
18. [Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs](https://aclanthology.org/2024.emnlp-main.914/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
19. [Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset](https://aclanthology.org/2024.lrec-main.1434/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
20. [Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)](https://arxiv.org/abs/2412.18367) *— 2024 · arXiv:2412.18367*
21. [Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages](https://arxiv.org/abs/2404.02512) *— 2024 · arXiv:2404.02512*
22. [Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks](https://aclanthology.org/2024.findings-emnlp.688/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
23. [Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation](https://aclanthology.org/2024.findings-acl.710/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
24. [Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human-in-the-Loop](https://aclanthology.org/2024.dash-1.2/) *— 2024 · Proceedings of the Fifth Workshop on Data Science with Human-in-the-Loop (DaSH 2024)*
25. [Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout](https://aclanthology.org/2024.findings-emnlp.489/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
26. [Towards Privacy-Aware Sign Language Translation at Scale](https://aclanthology.org/2024.acl-long.467/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation](https://aclanthology.org/2024.eamt-1.24/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
28. [Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models](https://aclanthology.org/2024.findings-eacl.137/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
29. [Towards Understanding the Robustness of LLM-based Evaluations under Perturbations](https://aclanthology.org/2024.icon-1.22/) *— 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)*
30. [Towards an On-device Agent for Text Rewriting](https://aclanthology.org/2024.findings-naacl.163/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
31. [Towards responsible development of generative AI for education: An evaluation-driven approach](https://arxiv.org/abs/2407.12687) *— 2024*
32. [Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech](https://aclanthology.org/2024.findings-acl.831/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
33. [Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases](https://arxiv.org/abs/2403.13901) *— 2024 · arXiv:2403.13901*
34. [Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization](https://aclanthology.org/2024.findings-naacl.186/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
35. [TransAgents: Build Your Translation Company with Language Agents](https://aclanthology.org/2024.emnlp-demo.14/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
36. [TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills](https://aclanthology.org/2024.lrec-main.1453/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
37. [TransLLaMa: LLM-based Simultaneous Translation System](https://aclanthology.org/2024.findings-emnlp.27/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
38. [Transfer Fine-tuning for Quality Estimation of Text Simplification](https://aclanthology.org/2024.lrec-main.1455/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
39. [Transformers for Bridging Persian Dialects: Transliteration Model for Tajiki and Iranian Scripts](https://aclanthology.org/2024.lrec-main.1459/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
40. [Translate your Own: a Post-Editing Experiment in the NLP domain](https://aclanthology.org/2024.eamt-1.36/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
41. [Translate-and-Revise: Boosting Large Language Models for Constrained Translation](https://aclanthology.org/2024.ccl-1.82/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
42. [Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation](https://aclanthology.org/2024.findings-acl.325/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
43. [Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment](https://aclanthology.org/2024.lrec-main.1460/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
44. [Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation](https://aclanthology.org/2024.lrec-main.1464/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
45. [TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models](https://arxiv.org/abs/2405.16783) *— 2024 · arXiv:2405.16783*
46. [TrustLLM: Trustworthiness in Large Language Models](https://arxiv.org/abs/2401.05561) *— 2024 · arXiv:2401.05561*
47. [Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages](https://aclanthology.org/2024.loresmt-1.1/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
48. [Tweak to Trust: Assessing the Reliability of Summarization Metrics in Contact Centers via Perturbed Summaries](https://aclanthology.org/2024.trustnlp-1.14/) *— 2024 · Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)*
49. [UF-HOBI at “Discharge Me!”: A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models](https://aclanthology.org/2024.bionlp-1.60/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
50. [UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation](https://aclanthology.org/2024.acl-long.288/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation](https://aclanthology.org/2024.naacl-industry.31/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)*
52. [Uncovering Limitations of Large Language Models in Information Seeking from Tables](https://aclanthology.org/2024.findings-acl.82/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
53. [Understanding Counterspeech for Online Harm Mitigation](https://nejlt.ep.liu.se/article/view/5203) *— 2024 · Northern European Journal of Language Technology*
54. [Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective](https://aclanthology.org/2024.acl-long.209/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation](https://aclanthology.org/2024.acl-long.543/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing](https://aclanthology.org/2024.naacl-long.388/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
57. [UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition](https://arxiv.org/abs/2404.15254) *— 2024 · arXiv:2404.15254*
58. [UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt](https://aclanthology.org/2024.lrec-main.1481/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
59. [Unifying Structured Data as Graph for Data-to-Text Pre-Training](https://aclanthology.org/2024.tacl-1.12/) *— 2024 · Transactions of the Association for Computational Linguistics*
60. [Unipa-GPT: A Framework to Assess Open-source Alternatives to Chat-GPT for Italian Chat-bots](https://aclanthology.org/2024.clicit-1.100/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
61. [Universitat d'Alacant's Submission to the WMT 2024 Shared Task on Translation into Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.85/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
62. [University of Glasgow at the FinLLM Challenge Task: Adapting Llama for Financial News Abstractive Summarization](https://aclanthology.org/2024.finnlp-2.12/) *— 2024 · Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning*
63. [Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering](https://aclanthology.org/2024.emnlp-main.625/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
64. [Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence](https://aclanthology.org/2024.naacl-short.9/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
65. [Unsupervised Human Preference Learning](https://aclanthology.org/2024.emnlp-main.200/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
66. [Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures](https://aclanthology.org/2024.findings-acl.225/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
67. [Unsupervised Sign Language Translation and Generation](https://aclanthology.org/2024.findings-acl.835/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
68. [Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization](https://aclanthology.org/2024.findings-emnlp.719/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
69. [Unveiling the Achilles” Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models](https://aclanthology.org/2024.findings-acl.80/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
70. [Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm](https://aclanthology.org/2024.findings-acl.368/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
71. [Unveiling the Invisible: Captioning Videos with Metaphors](https://aclanthology.org/2024.findings-emnlp.366/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
72. [UoG Siephers at “Discharge Me!”: Exploring Ways to Generate Synthetic Patient Notes From Multi-Part Electronic Health Records](https://aclanthology.org/2024.bionlp-1.62/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
73. [User Embedding Model for Personalized Language Prompting](https://aclanthology.org/2024.personalize-1.12/) *— 2024 · Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024)*
74. [Using Large Language Models for the Interpretation of Building Regulations](https://arxiv.org/abs/2407.21060) *— 2024 · arXiv:2407.21060*
75. [Using Large Language Models to Evaluate Biomedical Query-Focused Summarisation](https://aclanthology.org/2024.bionlp-1.18/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
76. [Using Program Repair as a Proxy for Language Models' Feedback Ability in Programming Education](https://aclanthology.org/2024.bea-1.15/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
77. [Using Structured Health Information for Controlled Generation of Clinical Cases in French](https://aclanthology.org/2024.clinicalnlp-1.14/) *— 2024 · Proceedings of the 6th Clinical Natural Language Processing Workshop*
78. [Using a multilingual literary parallel corpus to train NMT systems](https://aclanthology.org/2024.ctt-1.1/) *— 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology*
79. [Utilizing Longer Context than Speech Bubbles in Automated Manga Translation](https://aclanthology.org/2024.lrec-main.1505/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
80. [VIEWS: Entity-Aware News Video Captioning](https://aclanthology.org/2024.emnlp-main.1128/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
81. [VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models](https://aclanthology.org/2024.emnlp-main.618/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
82. [VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder](https://aclanthology.org/2024.findings-naacl.26/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
83. [ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese Language Models](https://aclanthology.org/2024.findings-naacl.261/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
84. [ViHerbQA: A Robust QA Model for Vietnamese Traditional Herbal Medicine](https://aclanthology.org/2024.paclic-1.45/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
85. [ViMedAQA: A Vietnamese Medical Abstractive Question-Answering Dataset and Findings of Large Language Model](https://aclanthology.org/2024.acl-srw.31/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
86. [Vicomtech@WMT 2024: Shared Task on Translation into Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.91/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
87. [Virtual Compiler Is All You Need For Assembly Code Search](https://aclanthology.org/2024.acl-long.167/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [Vision-Language Models under Cultural and Inclusive Considerations](https://aclanthology.org/2024.hucllm-1.5/) *— 2024 · Proceedings of the 1st Human-Centered Large Language Modeling Workshop*
89. [Visual Enhanced Entity-Level Interaction Network for Multimodal Summarization](https://aclanthology.org/2024.findings-naacl.206/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
90. [Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs](https://aclanthology.org/2024.findings-emnlp.320/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
91. [Visual Question Decomposition on Multimodal Large Language Models](https://aclanthology.org/2024.findings-emnlp.107/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
92. [Visually-Aware Context Modeling for News Image Captioning](https://aclanthology.org/2024.naacl-long.162/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
93. [Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects](https://aclanthology.org/2024.emnlp-main.251/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
94. [Wav2Gloss: Generating Interlinear Glossed Text from Speech](https://aclanthology.org/2024.acl-long.34/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [WavChat: A Survey of Spoken Dialogue Models](https://arxiv.org/abs/2411.13577) *— 2024 · arXiv:2411.13577*
96. [Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems](https://aclanthology.org/2024.emnlp-main.816/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
97. [What Have We Achieved on Non-autoregressive Translation?](https://aclanthology.org/2024.findings-acl.452/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
98. [What are the Generator Preferences for End-to-end Task-Oriented Dialog System?](https://aclanthology.org/2024.emnlp-main.616/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
99. [What do Large Language Models Need for Machine Translation Evaluation?](https://aclanthology.org/2024.emnlp-main.214/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
100. [What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study](https://aclanthology.org/2024.emnlp-main.1002/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [31](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/31/) · **32** · [33](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/33/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)